Wenlve Zhou

Profile

I'm a researcher in computer vision and machine learning currently working on unsupervised domain adaptation and contrastive learning for visual recognition tasks. My work focuses on developing efficient methods that can perform well with limited labeled data, particularly in challenging domains like synthetic aperture radar (SAR) automatic target recognition and steel surface defect detection.

My research interests span several key areas including transfer learning, vision-language models, parameter-efficient training, and zero-shot learning. I have extensive experience working with self-supervised learning and contrastive learning methods to address the fundamental challenge of learning robust representations from small sample sizes. Much of my work has been published in top-tier venues including IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Circuits and Systems for Video Technology, and Expert Systems with Applications.

Publications

Unsupervised Domain Adaption Harnessing Vision-Language Pre-Training

Unsupervised Domain Adaption Harnessing Vision-Language Pre-Training

Wenlve Zhou, Zhiheng Zhou

IEEE transactions on circuits and systems for video technology (Print) 2024

BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption

Wenlve Zhou, Zhiheng Zhou, Junyuan Shang, Chang Niu, Mingyue Zhang, Xiyuan Tao, Tianlei Wang

Expert systems with applications 2024

Weakly Contrastive Learning via Batch Instance Discrimination and Feature Clustering for Small Sample SAR ATR

Yikui Zhai, Wenlve Zhou, Bing Sun, Jingwen Li, Qirui Ke, Z. Ying, Junying Gan, Chaoyun Mai, R. D. Labati, V. Piuri, F. Scotti

IEEE Transactions on Geoscience and Remote Sensing 2024

Capsule Broad Learning System Network for Robust Synthetic Aperture Radar Automatic Target Recognition with Small Samples

Cuilin Yu, Yikui Zhai, Haifeng Huang, Qingsong Wang, Wenlve Zhou

Remote Sensing 2024

Improve Cross-Domain Mixed Sampling With Guidance Training for Adaptive Segmentation

Wenlve Zhou, Zhiheng Zhou, Tianlei Wang, Delu Zeng

IEEE Transactions on Instrumentation and Measurement 2024

Graph-Based Semantic Embedding Refinement for Zero-Shot Remote Sensing Image Scene Classification

Junyuan Shang, Chang Niu, Wenlve Zhou, Zhiheng Zhou, Junmei Yang

IEEE Transactions on Aerospace and Electronic Systems 2024

Instance contrastive learning with dynamic weighted variance for small sample steel defect recognition

Yanyang Liang, Jiacong Chen, Wenlve Zhou, Ying Xu, Yikui Zhai, R. D. Labati, V. Piuri, F. Scotti

Electronics Letters 2021

Actual Image Data Generation and Application via Generative Adversarial Network

Ruiming Li, Jinxin Wang, Wenlve Zhou, Xi Wu, Chao Dong, Yikui Zhai, Yebin Chen

2020 2nd International Conference on Applied Machine Learning (ICAML) 2020

Flexible and Diverse Contrastive Learning for Steel Surface Defect Recognition With Few Labeled Samples

Ying Xu, Jiacong Chen, Yanyang Liang, Yikui Zhai, Z. Ying, Wenlve Zhou, A. Genovese, V. Piuri, F. Scotti

IEEE Transactions on Instrumentation and Measurement 2023

A Lightweight Network Deployed on ARM Devices for Hand Gesture Recognition

Mingyue Zhang, Zhiheng Zhou, Tianlei Wang, Wenlve Zhou

IEEE Access 2023

A Precise Landing Method for Unmanned Aerial Vehicle Visual Apron and Its Application

Liu Shikuang, Wenlve Zhou, Ying Xu, Liu FanSheng, Zhang Junliang, X. Huang, Yanqing Lu, Yuanpeng Su, Yinpei Zhan, Hua Junwei

3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning 2021

Unattended AI Inspection Collaborative Management Platform

Zhang Junliang, Wenlve Zhou, Ying Xu, Xuelin Huang, Liu Shikuang, Yanqing Lu, Yuanpeng Su, Liu FanSheng, Zhan Yingpei, Hua Junwei

3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning 2021

AntennaNet: Antenna Parameters Measuring Network for Mobile Communication Base Station Using UAV

Yikui Zhai, Qirui Ke, Xingling Liu, Wenlve Zhou, Ying Xu, Z. Ying, Junying Gan, Junying Zeng, R. D. Labati, V. Piuri, F. Scotti

IEEE Transactions on Instrumentation and Measurement 2021

Facial Beauty Prediction via Local Feature Fusion and Broad Learning System

Yikui Zhai, Cuilin Yu, Chuanbo Qin, Wenlve Zhou, Qirui Ke, Junying Gan, R. D. Labati, V. Piuri, F. Scotti

IEEE Access 2020

Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000

Yikui Zhai, Ke Qirui, Xu Ying, Wenbo Deng, Junying Gan, Junying Zeng, Wenlve Zhou, F. Scotti, Ruggero Donida, Labati